当前基于逆变器基波脉宽调制激励的双三相永磁同步电机（DTP-PMSM）无位置传感器的算法无需注入高频信号即可实现低速和零速控制。但是，该方法在非零电压矢量期间需要多次对电流进行采样，算法的实施比较复杂，对硬件要求较高，阻碍了这种方法在工业中的实际运用。为此，本文研究了一种改进算法。该方法直接利用DTP-PMSM本身的凸极效应，从静止坐标系下，以同步采样的方式提取相邻两个PWM周期内平均电流变化率，进而实现转子位置估测。此新方法实现了为位置估测进行的电流采样与为电流环控制进行的电流采样之间的同步，大幅降低了算法的实施难度。论文最后通过仿真验证了所提新方法在低速和零速运行条件下的有效性。

The existing sensorless rotor position estimation technique for a dual-three phase permanent magnet synchronous motor (DTP-PMSM) that relies on the fundamental PWM excitation is able to achieve rotor position estimation at low and zero speeds without injecting high-frequency signals. However, it needs to take multiple current samples during individual active voltage vectors generated by a voltage source inverter. Although it is effective, the requirement on the multiple current sampling hinders its practical application. This paper therefore proposes a new algorithm to overcome the above shortcoming. The algorithm directly utilizes the saliency effect of dual three-phase PMSMs to extract the rotor position information in the average current derivatives of two adjacent PWM periods from the stationary coordinates by the synchronous sampling technique. The new algorithm allows a synchronous current sampling for both the rotor position estimation and the current control, which greatly eases the practical implementation. Finally, the proposed algorithm is effectively verified in a DTP-PMSM simulation model at low and zero speeds.

国家自然科学基金(51477101)